This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

Table 1. Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue Howard Bayes
Time series 1999 - present 1977 - present
Bias in SWHS Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests. Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data. Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas. Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with. By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.
**Figure 1.**- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.


**Figure 2.**- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).


Results

**Figure X.**- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

**Figure 3.**- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 3.**- Total rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

**Figure 4.**- Black rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.


And black rockfish releases…

**Figure 5.**- Black rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 6.**- Yellow rockfish harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 7.**- Yellow rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.





**Figure 8.**- DSR rockfish (excluding yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 9.**- DSR rockfish releases (including yelloweye) 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 11.**- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 12.**- Slope rockfish releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

**Figure 13.**- *Other* rockfish (non-pelagic and non-yelloweye) harvests 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



**Figure 14.**- *Other* rockfish (non-pelagic and non-yelloweye) releases 1996--2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.



Total Biomass Removal Estimates

**Figure 15.**- Black rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.



**Figure 16.**- Yellow rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

**Figure 17.**- Pelagic rockfish estimated total removals in lbs in 1996--2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 18.**- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


**Figure 19.**- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.


Model fit

Logbook residuals

**Figure 20.**- Residuals from logbook harvests.

Figure 20.- Residuals from logbook harvests.


SWHS residuals

**Figure 21.**- Residuals from SWHS harvests.

Figure 21.- Residuals from SWHS harvests.



**Figure 22.**- Residual of SWHS releases.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

**Figure 23.**- Mean percent of harvest by charter anglers.

Figure 23.- Mean percent of harvest by charter anglers.


When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

**Figure 24.**- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.


**Figure 25.**- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 26.**- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.


**Figure 27.**- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.


**Figure 28.**- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.


**Figure 29.**- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

**Figure 30.**- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.


Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

**Figure 31.**- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS *underestimates* the true value and bias > 1 indicates the survey *overestimates* the true value.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

**Figure 32.**- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

**Figure 33.**- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

**Figure 34.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

**Figure 35.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

**Figure 36.**- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.



P(slope|non-pelagic & non-yellowye) For release estimates

## NULL



Weight Fits

**Figure 37.**- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 38.**- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 39.**- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 40.**- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


**Figure 41.**- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.


Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.366782

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.2 while 0.8 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable

area_n

year

user

mean

median

lower

upper

Rhat

sd

skew

area

p_dsr

12

3

2

0.878

0.900

0.662

0.976

1.012

0.084

-0.263

EWYKT

p_yellow

13

1

1

0.461

0.400

0.134

0.991

1.038

0.244

0.250

NSEI

p_yellow

13

1

2

0.465

0.404

0.127

0.991

1.037

0.243

0.251

NSEI

p_yellow

13

10

1

0.462

0.396

0.132

0.992

1.038

0.246

0.268

NSEI

p_yellow

13

10

2

0.464

0.406

0.131

0.993

1.035

0.245

0.237

NSEI

p_yellow

13

11

1

0.457

0.390

0.128

0.990

1.038

0.246

0.273

NSEI

p_yellow

13

11

2

0.464

0.401

0.137

0.992

1.038

0.245

0.257

NSEI

p_yellow

13

12

1

0.458

0.391

0.131

0.993

1.035

0.248

0.270

NSEI

p_yellow

13

12

2

0.465

0.400

0.138

0.991

1.036

0.246

0.264

NSEI

p_yellow

13

13

1

0.460

0.398

0.135

0.993

1.038

0.244

0.254

NSEI

p_yellow

13

13

2

0.465

0.405

0.134

0.992

1.037

0.246

0.244

NSEI

p_yellow

13

14

1

0.458

0.394

0.131

0.992

1.042

0.246

0.260

NSEI

p_yellow

13

14

2

0.466

0.404

0.138

0.993

1.035

0.244

0.254

NSEI

p_yellow

13

15

1

0.455

0.385

0.127

0.992

1.041

0.248

0.282

NSEI

p_yellow

13

15

2

0.462

0.392

0.137

0.992

1.040

0.245

0.285

NSEI

p_yellow

13

16

1

0.458

0.398

0.131

0.992

1.037

0.245

0.245

NSEI

p_yellow

13

16

2

0.460

0.396

0.134

0.992

1.038

0.243

0.264

NSEI

p_yellow

13

17

1

0.460

0.393

0.130

0.991

1.037

0.243

0.275

NSEI

p_yellow

13

17

2

0.463

0.396

0.141

0.992

1.040

0.242

0.277

NSEI

p_yellow

13

18

1

0.462

0.401

0.131

0.991

1.035

0.243

0.251

NSEI

p_yellow

13

18

2

0.461

0.400

0.137

0.992

1.036

0.243

0.251

NSEI

p_yellow

13

19

1

0.459

0.397

0.133

0.993

1.036

0.245

0.253

NSEI

p_yellow

13

19

2

0.461

0.397

0.133

0.992

1.036

0.245

0.261

NSEI

p_yellow

13

2

1

0.460

0.391

0.135

0.992

1.036

0.245

0.282

NSEI

p_yellow

13

2

2

0.460

0.395

0.127

0.993

1.039

0.248

0.262

NSEI

p_yellow

13

20

1

0.463

0.399

0.138

0.992

1.035

0.242

0.264

NSEI

p_yellow

13

20

2

0.463

0.403

0.128

0.991

1.035

0.244

0.246

NSEI

p_yellow

13

21

1

0.463

0.401

0.139

0.992

1.034

0.243

0.255

NSEI

p_yellow

13

21

2

0.462

0.395

0.141

0.992

1.038

0.242

0.277

NSEI

p_yellow

13

22

1

0.456

0.387

0.129

0.992

1.034

0.245

0.281

NSEI

p_yellow

13

22

2

0.464

0.399

0.138

0.993

1.038

0.244

0.267

NSEI

p_yellow

13

23

1

0.432

0.360

0.108

0.990

1.038

0.251

0.287

NSEI

p_yellow

13

23

2

0.506

0.459

0.161

0.993

1.038

0.237

0.199

NSEI

p_yellow

13

24

1

0.429

0.363

0.109

0.991

1.039

0.249

0.265

NSEI

p_yellow

13

24

2

0.507

0.456

0.158

0.994

1.030

0.237

0.215

NSEI

p_yellow

13

25

1

0.431

0.367

0.103

0.990

1.042

0.248

0.258

NSEI

p_yellow

13

25

2

0.507

0.462

0.160

0.994

1.028

0.235

0.192

NSEI

p_yellow

13

26

1

0.425

0.359

0.112

0.989

1.039

0.246

0.269

NSEI

p_yellow

13

26

2

0.502

0.452

0.168

0.994

1.036

0.233

0.214

NSEI

p_yellow

13

27

1

0.413

0.347

0.112

0.989

1.036

0.243

0.272

NSEI

p_yellow

13

27

2

0.500

0.455

0.159

0.993

1.032

0.231

0.195

NSEI

p_yellow

13

28

1

0.419

0.357

0.109

0.989

1.040

0.237

0.262

NSEI

p_yellow

13

28

2

0.499

0.456

0.160

0.992

1.030

0.227

0.190

NSEI

p_yellow

13

29

1

0.396

0.344

0.104

0.973

1.037

0.223

0.233

NSEI

p_yellow

13

29

2

0.484

0.450

0.167

0.983

1.028

0.215

0.158

NSEI

p_yellow

13

3

1

0.464

0.398

0.139

0.993

1.035

0.244

0.270

NSEI

p_yellow

13

3

2

0.465

0.402

0.139

0.992

1.030

0.244

0.259

NSEI

p_yellow

13

4

1

0.460

0.393

0.131

0.992

1.035

0.246

0.273

NSEI

p_yellow

13

4

2

0.460

0.398

0.125

0.993

1.040

0.246

0.252

NSEI

p_yellow

13

5

1

0.464

0.404

0.135

0.992

1.042

0.243

0.247

NSEI

p_yellow

13

5

2

0.465

0.401

0.132

0.992

1.033

0.245

0.262

NSEI

p_yellow

13

6

1

0.460

0.395

0.130

0.992

1.043

0.244

0.267

NSEI

p_yellow

13

6

2

0.465

0.397

0.129

0.991

1.036

0.245

0.278

NSEI

p_yellow

13

7

1

0.463

0.403

0.131

0.991

1.033

0.244

0.246

NSEI

p_yellow

13

7

2

0.463

0.398

0.134

0.993

1.037

0.247

0.263

NSEI

p_pelagic

13

8

2

0.138

0.123

0.042

0.323

1.011

0.072

0.209

NSEI

p_yellow

13

8

1

0.461

0.397

0.134

0.992

1.035

0.243

0.263

NSEI

p_yellow

13

8

2

0.463

0.397

0.136

0.993

1.038

0.245

0.270

NSEI

p_yellow

13

9

1

0.467

0.411

0.142

0.992

1.031

0.243

0.231

NSEI

p_yellow

13

9

2

0.464

0.401

0.127

0.992

1.041

0.244

0.258

NSEI

p_yellow

14

1

1

0.597

0.580

0.254

0.994

1.029

0.196

0.087

NSEO

p_yellow

14

1

2

0.636

0.627

0.294

0.996

1.027

0.187

0.048

NSEO

p_yellow

14

10

1

0.595

0.578

0.254

0.995

1.025

0.194

0.087

NSEO

p_yellow

14

10

2

0.632

0.622

0.285

0.996

1.025

0.188

0.053

NSEO

p_yellow

14

11

1

0.595

0.580

0.256

0.996

1.027

0.196

0.076

NSEO

p_yellow

14

11

2

0.634

0.621

0.296

0.997

1.022

0.186

0.070

NSEO

p_black

14

11

1

0.917

0.944

0.682

0.993

1.012

0.083

-0.325

NSEO

p_yellow

14

12

1

0.593

0.572

0.261

0.995

1.029

0.196

0.107

NSEO

p_yellow

14

12

2

0.635

0.622

0.289

0.996

1.024

0.187

0.069

NSEO

p_yellow

14

13

1

0.593

0.570

0.252

0.996

1.028

0.199

0.116

NSEO

p_yellow

14

13

2

0.634

0.627

0.287

0.996

1.029

0.187

0.037

NSEO

p_yellow

14

14

1

0.593

0.572

0.276

0.995

1.026

0.194

0.108

NSEO

p_yellow

14

14

2

0.635

0.623

0.286

0.996

1.028

0.188

0.064

NSEO

p_yellow

14

15

1

0.590

0.567

0.250

0.995

1.033

0.197

0.117

NSEO

p_yellow

14

15

2

0.635

0.624

0.289

0.996

1.021

0.187

0.059

NSEO

p_yellow

14

16

1

0.599

0.582

0.245

0.995

1.030

0.198

0.086

NSEO

p_yellow

14

16

2

0.635

0.627

0.304

0.996

1.019

0.187

0.043

NSEO

p_yellow

14

17

1

0.593

0.572

0.250

0.995

1.024

0.198

0.106

NSEO

p_yellow

14

17

2

0.630

0.621

0.284

0.996

1.027

0.190

0.047

NSEO

p_yellow

14

18

1

0.591

0.570

0.252

0.995

1.023

0.199

0.106

NSEO

p_yellow

14

18

2

0.630

0.621

0.292

0.996

1.025

0.189

0.048

NSEO

p_yellow

14

19

1

0.590

0.572

0.263

0.996

1.028

0.195

0.092

NSEO

p_yellow

14

19

2

0.635

0.624

0.305

0.997

1.030

0.186

0.059

NSEO

p_yellow

14

2

1

0.593

0.572

0.258

0.995

1.026

0.199

0.106

NSEO

p_yellow

14

2

2

0.636

0.628

0.293

0.996

1.023

0.188

0.043

NSEO

p_yellow

14

20

1

0.598

0.580

0.262

0.995

1.033

0.195

0.092

NSEO

p_yellow

14

20

2

0.633

0.624

0.285

0.996

1.019

0.188

0.048

NSEO

p_yellow

14

21

1

0.595

0.575

0.257

0.995

1.031

0.196

0.102

NSEO

p_yellow

14

21

2

0.632

0.623

0.286

0.996

1.019

0.189

0.048

NSEO

p_black

14

21

1

0.918

0.945

0.685

0.994

1.011

0.084

-0.322

NSEO

p_yellow

14

22

1

0.594

0.577

0.252

0.995

1.028

0.196

0.087

NSEO

p_yellow

14

22

2

0.637

0.625

0.306

0.995

1.025

0.186

0.065

NSEO

p_yellow

14

23

1

0.625

0.609

0.303

0.995

1.031

0.182

0.088

NSEO

p_yellow

14

23

2

0.633

0.621

0.292

0.996

1.022

0.188

0.064

NSEO

p_yellow

14

24

1

0.626

0.619

0.294

0.995

1.028

0.183

0.038

NSEO

p_yellow

14

24

2

0.635

0.626

0.299

0.996

1.024

0.187

0.048

NSEO

p_yellow

14

25

1

0.608

0.593

0.274

0.996

1.032

0.189

0.080

NSEO

p_yellow

14

25

2

0.633

0.620

0.284

0.996

1.023

0.189

0.069

NSEO

p_yellow

14

26

1

0.599

0.582

0.250

0.995

1.026

0.199

0.086

NSEO

p_yellow

14

26

2

0.636

0.623

0.295

0.996

1.022

0.185

0.070

NSEO

p_yellow

14

27

1

0.616

0.610

0.265

0.995

1.027

0.190

0.032

NSEO

p_yellow

14

27

2

0.631

0.623

0.283

0.996

1.025

0.188

0.043

NSEO

p_yellow

14

28

1

0.599

0.583

0.266

0.995

1.026

0.188

0.085

NSEO

p_yellow

14

28

2

0.627

0.618

0.285

0.995

1.023

0.189

0.048

NSEO

p_yellow

14

29

1

0.600

0.591

0.265

0.990

1.022

0.189

0.048

NSEO

p_yellow

14

29

2

0.626

0.624

0.289

0.993

1.021

0.182

0.011

NSEO

p_yellow

14

3

1

0.595

0.580

0.262

0.995

1.026

0.195

0.077

NSEO

p_yellow

14

3

2

0.632

0.625

0.291

0.995

1.026

0.188

0.037

NSEO

p_yellow

14

4

1

0.596

0.581

0.253

0.996

1.026

0.196

0.077

NSEO

p_yellow

14

4

2

0.639

0.630

0.278

0.996

1.027

0.187

0.048

NSEO

p_yellow

14

5

1

0.595

0.573

0.263

0.995

1.024

0.196

0.112

NSEO

p_yellow

14

5

2

0.634

0.624

0.296

0.996

1.024

0.189

0.053

NSEO

p_yellow

14

6

1

0.598

0.577

0.254

0.995

1.033

0.197

0.107

NSEO

p_yellow

14

6

2

0.636

0.626

0.296

0.995

1.026

0.187

0.054

NSEO

p_yellow

14

7

1

0.600

0.581

0.268

0.994

1.025

0.194

0.098

NSEO

p_yellow

14

7

2

0.634

0.623

0.294

0.996

1.025

0.187

0.059

NSEO

p_yellow

14

8

1

0.596

0.581

0.255

0.996

1.029

0.196

0.076

NSEO

p_yellow

14

8

2

0.632

0.615

0.294

0.996

1.023

0.188

0.090

NSEO

p_yellow

14

9

1

0.597

0.582

0.262

0.995

1.025

0.196

0.076

NSEO

p_yellow

14

9

2

0.635

0.623

0.286

0.996

1.029

0.186

0.065

NSEO

p_yellow

15

1

1

0.406

0.294

0.095

0.997

1.076

0.290

0.387

SSEI

p_yellow

15

1

2

0.465

0.375

0.127

0.998

1.058

0.276

0.326

SSEI

p_yellow

15

10

1

0.408

0.295

0.097

0.997

1.074

0.289

0.391

SSEI

p_yellow

15

10

2

0.467

0.372

0.136

0.998

1.066

0.274

0.347

SSEI

p_yellow

15

11

1

0.405

0.294

0.096

0.997

1.080

0.291

0.382

SSEI

p_yellow

15

11

2

0.465

0.373

0.135

0.998

1.068

0.273

0.337

SSEI

p_yellow

15

12

1

0.405

0.292

0.101

0.997

1.077

0.289

0.391

SSEI

p_yellow

15

12

2

0.463

0.371

0.134

0.998

1.065

0.275

0.335

SSEI

p_yellow

15

13

1

0.407

0.298

0.096

0.997

1.074

0.289

0.377

SSEI

p_yellow

15

13

2

0.466

0.371

0.138

0.998

1.067

0.274

0.347

SSEI

p_yellow

15

14

1

0.408

0.293

0.099

0.997

1.077

0.290

0.397

SSEI

p_yellow

15

14

2

0.465

0.375

0.134

0.998

1.070

0.274

0.328

SSEI

p_yellow

15

15

1

0.408

0.299

0.094

0.997

1.069

0.291

0.375

SSEI

p_yellow

15

15

2

0.460

0.369

0.139

0.998

1.075

0.276

0.330

SSEI

p_yellow

15

16

1

0.406

0.294

0.098

0.997

1.073

0.289

0.388

SSEI

p_yellow

15

16

2

0.464

0.371

0.137

0.998

1.067

0.274

0.339

SSEI

p_yellow

15

17

1

0.410

0.297

0.102

0.997

1.071

0.289

0.391

SSEI

p_yellow

15

17

2

0.462

0.370

0.134

0.998

1.075

0.274

0.335

SSEI

p_yellow

15

18

1

0.404

0.290

0.099

0.997

1.076

0.290

0.393

SSEI

p_yellow

15

18

2

0.463

0.368

0.128

0.998

1.064

0.275

0.346

SSEI

p_yellow

15

19

1

0.409

0.298

0.097

0.997

1.073

0.290

0.383

SSEI

p_yellow

15

19

2

0.464

0.374

0.131

0.997

1.065

0.275

0.328

SSEI

p_yellow

15

2

1

0.407

0.294

0.099

0.997

1.073

0.290

0.390

SSEI

p_yellow

15

2

2

0.463

0.370

0.136

0.998

1.068

0.274

0.339

SSEI

p_yellow

15

20

1

0.407

0.292

0.099

0.997

1.072

0.291

0.396

SSEI

p_yellow

15

20

2

0.467

0.374

0.135

0.998

1.064

0.273

0.340

SSEI

p_yellow

15

21

1

0.412

0.301

0.106

0.997

1.072

0.289

0.384

SSEI

p_yellow

15

21

2

0.464

0.371

0.131

0.998

1.065

0.274

0.339

SSEI

p_yellow

15

22

1

0.409

0.299

0.099

0.996

1.074

0.288

0.381

SSEI

p_yellow

15

22

2

0.462

0.370

0.134

0.998

1.062

0.276

0.334

SSEI

p_yellow

15

23

1

0.361

0.235

0.072

0.996

1.078

0.302

0.418

SSEI

p_yellow

15

23

2

0.526

0.452

0.174

0.998

1.059

0.256

0.289

SSEI

p_yellow

15

24

1

0.361

0.234

0.071

0.995

1.076

0.303

0.419

SSEI

p_yellow

15

24

2

0.526

0.452

0.179

0.998

1.056

0.257

0.288

SSEI

p_yellow

15

25

1

0.362

0.237

0.073

0.996

1.079

0.301

0.416

SSEI

p_yellow

15

25

2

0.525

0.459

0.179

0.998

1.057

0.256

0.258

SSEI

p_yellow

15

26

1

0.361

0.233

0.071

0.995

1.079

0.303

0.422

SSEI

p_yellow

15

26

2

0.522

0.449

0.177

0.998

1.057

0.260

0.281

SSEI

p_yellow

15

27

1

0.361

0.235

0.076

0.995

1.076

0.300

0.420

SSEI

p_yellow

15

27

2

0.523

0.450

0.178

0.998

1.067

0.256

0.285

SSEI

p_yellow

15

28

1

0.365

0.238

0.074

0.995

1.076

0.301

0.422

SSEI

p_yellow

15

28

2

0.528

0.456

0.176

0.999

1.056

0.255

0.282

SSEI

p_yellow

15

29

1

0.354

0.235

0.073

0.992

1.075

0.287

0.414

SSEI

p_yellow

15

29

2

0.520

0.453

0.178

0.997

1.055

0.250

0.268

SSEI

p_yellow

15

3

1

0.410

0.300

0.099

0.997

1.078

0.289

0.381

SSEI

p_yellow

15

3

2

0.465

0.370

0.134

0.997

1.072

0.274

0.346

SSEI

p_yellow

15

4

1

0.409

0.299

0.095

0.997

1.071

0.291

0.378

SSEI

p_yellow

15

4

2

0.465

0.372

0.133

0.998

1.068

0.273

0.341

SSEI

p_yellow

15

5

1

0.402

0.292

0.091

0.997

1.074

0.291

0.378

SSEI

p_yellow

15

5

2

0.464

0.371

0.133

0.997

1.071

0.275

0.338

SSEI

p_yellow

15

6

1

0.409

0.297

0.099

0.997

1.069

0.288

0.388

SSEI

p_yellow

15

6

2

0.463

0.368

0.129

0.998

1.064

0.274

0.347

SSEI

p_yellow

15

7

1

0.407

0.293

0.097

0.997

1.073

0.290

0.393

SSEI

p_yellow

15

7

2

0.463

0.365

0.141

0.998

1.067

0.277

0.354

SSEI

p_yellow

15

8

1

0.406

0.293

0.093

0.997

1.071

0.290

0.389

SSEI

p_yellow

15

8

2

0.466

0.376

0.128

0.998

1.067

0.275

0.328

SSEI

p_yellow

15

9

1

0.410

0.300

0.103

0.997

1.071

0.289

0.381

SSEI

p_yellow

15

9

2

0.464

0.368

0.134

0.998

1.068

0.275

0.348

SSEI

p_pelagic

16

1

2

0.396

0.391

0.165

0.661

1.011

0.129

0.039

SSEO

p_pelagic

16

5

2

0.396

0.389

0.164

0.665

1.010

0.131

0.053

SSEO

p_pelagic

16

6

1

0.420

0.414

0.180

0.686

1.011

0.133

0.045

SSEO

p_yellow

4

8

2

0.882

0.897

0.705

0.977

1.011

0.073

-0.207

PWSO

p_black

8

40

1

0.484

0.416

0.342

0.963

1.078

0.188

0.362

afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable

area_n

year/species

mean

median

lower

upper

Rhat

sd

skew

year

area

beta0_pH

11

3

2.453

2.787

1.114

2.927

1.731

0.556

-0.600

CSEO

beta1_pH

11

3

0.546

0.072

0.000

2.227

1.787

0.715

0.663

CSEO

beta3_pH

11

3

37.746

39.152

29.676

42.612

1.185

3.708

-0.379

CSEO

beta0_pH

12

3

2.109

2.132

-0.942

3.811

2.289

1.386

-0.017

EWYKT

beta1_pH

12

3

1.842

2.021

0.000

5.029

2.723

1.586

-0.113

EWYKT

beta3_pH

12

3

39.461

40.384

30.334

42.846

1.917

3.479

-0.265

EWYKT

beta0_pH

13

3

2.001

2.017

0.802

2.807

1.445

0.613

-0.026

NSEI

beta1_pH

13

3

0.854

0.863

0.000

2.224

1.476

0.730

-0.012

NSEI

beta3_pH

13

3

39.410

40.607

30.231

42.614

1.306

3.220

-0.372

NSEI

beta0_pH

14

3

1.696

2.250

-0.341

2.398

4.637

0.906

-0.612

NSEO

beta1_pH

14

3

0.761

0.010

0.000

3.222

5.246

1.125

0.667

NSEO

beta3_pH

14

3

37.655

39.304

29.574

42.544

1.453

3.898

-0.423

NSEO

beta1_yellow

14

0.895

0.447

0.013

5.477

1.102

1.344

0.333

NSEO

beta0_pH

15

3

1.344

1.270

-0.071

2.443

1.256

0.760

0.097

SSEI

beta1_pH

15

3

1.336

1.455

0.000

3.015

1.261

0.929

-0.128

SSEI

beta2_pH

15

4

-6.662

-5.877

-16.687

-1.140

1.180

4.132

-0.190

SSEI

beta3_pH

15

3

39.423

40.404

30.431

42.129

1.184

2.790

-0.352

SSEI

beta2_yellow

15

-6.956

-5.638

-20.474

-0.446

1.197

5.158

-0.256

SSEI

beta0_pH

16

3

2.572

2.290

0.313

4.268

2.896

1.250

0.226

SSEO

beta1_pH

16

3

1.776

2.163

0.000

4.299

3.096

1.466

-0.264

SSEO

beta3_pH

16

3

39.809

41.502

30.117

42.716

2.000

3.600

-0.470

SSEO

mu_beta1_pH

2

3

4.430

0.537

0.000

18.736

1.541

5.925

0.657

NG

tau_beta1_pH

2

3

2.333

0.027

0.010

25.956

1.138

8.372

0.275

NG

mu_beta0_pH

3

3

2.030

2.063

0.486

3.383

1.210

0.763

-0.043

PWSI

tau_beta0_pH

3

3

3.200

0.891

0.080

24.339

1.389

8.743

0.264

PWSI

mu_beta1_pH

3

3

0.547

0.145

0.000

3.010

1.160

1.307

0.308

PWSI

tau_beta1_pH

3

3

0.159

0.065

0.011

0.572

1.283

1.208

0.078

PWSI

mu_beta2_pH

3

4

-6.469

-5.771

-16.202

-0.739

1.126

4.255

-0.164

PWSI

beta3_pelagic

4

26.292

26.296

23.739

29.774

1.109

1.680

-0.002

PWSO

beta0_pH

8

3

0.168

0.315

-3.238

0.736

1.319

0.862

-0.170

afognak

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.01

372.00

204.00

950.00

333.00

Prop. of total

0.65

0.35

0.74

0.26

Prop. median less than 1

0.32

0.24

0.35

0.44

Prop. median less than 10

0.42

0.52

0.55

0.74

Prop. median less than 50

0.54

0.77

0.71

0.84

Median of the median values

28.94

8.52

5.64

1.65

Mean of the median values

711.85

194.94

173.26

135.77

Mean skew of posteriors

0.28

0.29

0.26

0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic

non.BSAI.SOKO.Harv

BSAI.SOKO.Harv

non.BSAI.SOKO.Rel

BSAI.SOKO.Rel

n unconverged at Rhat = 1.1

3.00

5.00

89.00

40.00

Prop. of total

0.38

0.62

0.69

0.31

Prop. median less than 1

1.00

0.40

0.71

0.60

Prop. median less than 10

1.00

0.60

0.89

0.95

Prop. median less than 50

1.00

1.00

0.92

1.00

Median of the median values

0.00

8.87

0.06

0.30

Mean of the median values

0.00

20.21

27.24

3.47

Mean skew of posteriors

0.15

0.20

0.17

0.16

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable

Freq

beta0_pH

7

beta1_pH

6

beta2_pH

1

beta2_yellow

1

beta3_pH

6

Ho_ay

2

Ho_ayu

4

Hs_ayu

5

Hy_ay

2

Hy_ayg

1

Hy_ayu

2

mu_beta0_pH

1

mu_beta1_pH

2

mu_beta2_pH

1

pH

19

R_ay

1

R_ayu

1

Rb_ayg

1

Rd_ay

1

Rd_ayu

6

re_pH

80

Ro_ay

35

Ro_ayg

25

Ro_ayu

52

Rs_ay

4

Rs_ayg

10

Rs_ayu

18

Ry_ay

11

Ry_ayg

6

Ry_ayu

24

sd_pH

1

tau_beta0_pH

1

tau_beta1_pH

2

tau_pH

1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter mean sd Lower_CI Median Upper_CI
mu_bc_H[1] -0.015 0.072 -0.147 -0.018 0.137
mu_bc_H[2] 0.074 0.052 -0.021 0.073 0.183
mu_bc_H[3] -0.275 0.068 -0.401 -0.276 -0.138
mu_bc_H[4] -0.928 0.181 -1.291 -0.926 -0.585
mu_bc_H[5] 1.346 1.210 0.115 1.074 4.356
mu_bc_H[6] -2.403 0.319 -3.006 -2.406 -1.752
mu_bc_H[7] -0.455 0.103 -0.676 -0.450 -0.261
mu_bc_H[8] 0.254 0.350 -0.333 0.217 1.046
mu_bc_H[9] -0.247 0.124 -0.489 -0.247 0.010
mu_bc_H[10] 0.060 0.063 -0.061 0.059 0.185
mu_bc_H[11] -0.126 0.037 -0.200 -0.126 -0.053
mu_bc_H[12] -0.254 0.108 -0.481 -0.249 -0.058
mu_bc_H[13] -0.164 0.072 -0.304 -0.166 -0.022
mu_bc_H[14] -0.300 0.087 -0.472 -0.297 -0.133
mu_bc_H[15] -0.338 0.046 -0.431 -0.340 -0.245
mu_bc_H[16] -0.199 0.357 -0.827 -0.222 0.578
mu_bc_R[1] 1.048 0.121 0.809 1.050 1.283
mu_bc_R[2] 1.017 0.074 0.860 1.021 1.162
mu_bc_R[3] 0.243 0.091 0.058 0.245 0.421
mu_bc_R[4] 0.674 0.197 0.267 0.679 1.050
mu_bc_R[5] 1.679 0.366 0.978 1.679 2.412
mu_bc_R[6] -1.431 0.339 -2.111 -1.429 -0.762
mu_bc_R[7] 0.509 0.171 0.171 0.512 0.837
mu_bc_R[8] 0.658 0.148 0.374 0.658 0.962
mu_bc_R[9] 0.392 0.163 0.052 0.402 0.690
mu_bc_R[10] 0.906 0.101 0.705 0.908 1.107
mu_bc_R[11] 1.108 0.076 0.961 1.109 1.257
mu_bc_R[12] 0.867 0.158 0.551 0.868 1.170
mu_bc_R[13] 1.045 0.088 0.866 1.047 1.215
mu_bc_R[14] 0.863 0.120 0.624 0.866 1.094
mu_bc_R[15] 0.799 0.094 0.618 0.802 0.978
mu_bc_R[16] 1.341 0.107 1.126 1.346 1.539
tau_pH[1] 2.552 0.192 2.197 2.548 2.947
tau_pH[2] 1.641 0.154 1.357 1.635 1.953
tau_pH[3] 1.128 0.117 0.920 1.124 1.367
tau_pH[4] 1.186 0.161 0.902 1.175 1.537
tau_pH[5] 0.446 0.077 0.314 0.441 0.613
beta0_pH[1,1] 0.535 0.181 0.144 0.551 0.853
beta0_pH[2,1] 1.418 0.166 1.086 1.421 1.727
beta0_pH[3,1] 1.373 0.238 0.792 1.404 1.744
beta0_pH[4,1] 1.565 0.242 1.030 1.588 1.961
beta0_pH[5,1] -0.710 0.354 -1.522 -0.674 -0.135
beta0_pH[6,1] -0.448 0.404 -1.579 -0.342 0.050
beta0_pH[7,1] 0.759 0.011 0.738 0.759 0.780
beta0_pH[8,1] -0.463 0.340 -1.308 -0.425 0.015
beta0_pH[9,1] -0.307 0.268 -0.895 -0.289 0.161
beta0_pH[10,1] 0.283 0.205 -0.154 0.292 0.644
beta0_pH[11,1] 0.153 0.299 -0.520 0.175 0.642
beta0_pH[12,1] 0.736 0.193 0.327 0.748 1.092
beta0_pH[13,1] -0.641 0.158 -0.979 -0.632 -0.343
beta0_pH[14,1] -0.032 0.177 -0.407 -0.027 0.301
beta0_pH[15,1] 0.092 0.170 -0.275 0.095 0.401
beta0_pH[16,1] -0.632 0.201 -1.047 -0.628 -0.260
beta0_pH[1,2] 2.564 0.085 2.399 2.564 2.730
beta0_pH[2,2] 3.078 0.022 3.035 3.079 3.121
beta0_pH[3,2] 3.625 0.042 3.544 3.626 3.708
beta0_pH[4,2] 2.935 0.019 2.898 2.935 2.973
beta0_pH[5,2] 4.510 1.437 2.708 4.221 8.176
beta0_pH[6,2] 3.324 0.158 3.021 3.322 3.646
beta0_pH[7,2] 2.034 0.048 1.942 2.033 2.127
beta0_pH[8,2] 2.822 0.065 2.696 2.821 2.954
beta0_pH[9,2] 3.949 0.211 3.561 3.943 4.377
beta0_pH[10,2] 3.995 0.129 3.751 3.991 4.249
beta0_pH[11,2] 1.885 0.009 1.867 1.885 1.903
beta0_pH[12,2] 1.786 0.068 1.654 1.786 1.922
beta0_pH[13,2] 2.497 0.027 2.446 2.498 2.550
beta0_pH[14,2] 1.803 0.024 1.759 1.802 1.851
beta0_pH[15,2] 2.544 0.017 2.511 2.544 2.579
beta0_pH[16,2] 2.759 0.025 2.712 2.759 2.809
beta0_pH[1,3] 1.123 0.399 0.135 1.194 1.689
beta0_pH[2,3] 2.126 0.017 2.092 2.126 2.160
beta0_pH[3,3] 2.692 0.024 2.645 2.692 2.739
beta0_pH[4,3] 2.981 0.035 2.912 2.982 3.051
beta0_pH[5,3] 3.337 2.171 0.936 2.848 9.016
beta0_pH[6,3] 1.374 0.378 0.728 1.343 2.178
beta0_pH[7,3] 0.863 0.050 0.767 0.862 0.961
beta0_pH[8,3] 0.168 0.862 -3.238 0.315 0.736
beta0_pH[9,3] -2.095 1.094 -4.563 -1.963 -0.322
beta0_pH[10,3] -0.436 0.902 -2.583 -0.337 0.937
beta0_pH[11,3] 2.453 0.556 1.114 2.787 2.927
beta0_pH[12,3] 2.109 1.386 -0.942 2.132 3.811
beta0_pH[13,3] 2.001 0.613 0.802 2.017 2.807
beta0_pH[14,3] 1.696 0.906 -0.341 2.250 2.398
beta0_pH[15,3] 1.344 0.760 -0.071 1.270 2.443
beta0_pH[16,3] 2.572 1.250 0.313 2.290 4.268
beta0_pH[11,4] 0.906 0.410 0.034 0.925 1.656
beta0_pH[12,4] 1.013 0.661 -0.259 0.961 2.341
beta0_pH[13,4] 0.646 0.470 -0.429 0.690 1.489
beta0_pH[14,4] 0.416 0.402 -0.441 0.449 1.104
beta0_pH[15,4] 0.528 0.439 -0.471 0.588 1.280
beta0_pH[16,4] 0.992 0.576 -0.162 0.960 2.143
beta0_pH[11,5] 2.962 0.148 2.691 2.957 3.272
beta0_pH[12,5] -0.679 0.579 -1.845 -0.675 0.469
beta0_pH[13,5] 4.858 0.408 4.118 4.839 5.692
beta0_pH[14,5] 3.889 0.368 3.203 3.876 4.638
beta0_pH[15,5] 2.284 0.122 2.062 2.282 2.533
beta0_pH[16,5] 0.261 0.080 0.149 0.245 0.455
beta1_pH[1,1] 2.625 0.538 1.814 2.548 4.043
beta1_pH[2,1] 1.601 0.331 1.015 1.591 2.303
beta1_pH[3,1] 1.855 0.499 1.146 1.775 3.279
beta1_pH[4,1] 1.927 0.480 1.225 1.846 3.240
beta1_pH[5,1] 2.194 0.448 1.454 2.161 3.179
beta1_pH[6,1] 1.989 0.726 1.065 1.814 4.088
beta1_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,1] 2.172 0.729 1.231 2.023 4.243
beta1_pH[9,1] 1.900 0.431 1.199 1.854 2.904
beta1_pH[10,1] 2.088 0.369 1.461 2.068 2.854
beta1_pH[11,1] 3.219 0.444 2.514 3.180 4.277
beta1_pH[12,1] 2.696 0.282 2.149 2.687 3.263
beta1_pH[13,1] 3.423 0.262 2.950 3.406 3.982
beta1_pH[14,1] 2.883 0.314 2.302 2.871 3.553
beta1_pH[15,1] 2.344 0.248 1.893 2.339 2.860
beta1_pH[16,1] 3.589 0.287 3.045 3.592 4.160
beta1_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta1_pH[1,3] 1.888 1.315 0.031 1.710 5.531
beta1_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta1_pH[8,3] 4.333 2.887 0.062 3.696 11.808
beta1_pH[9,3] 7.349 2.807 3.101 6.836 13.721
beta1_pH[10,3] 6.308 2.706 2.568 5.716 12.478
beta1_pH[11,3] 0.546 0.715 0.000 0.072 2.227
beta1_pH[12,3] 1.842 1.586 0.000 2.021 5.029
beta1_pH[13,3] 0.854 0.730 0.000 0.863 2.224
beta1_pH[14,3] 0.761 1.125 0.000 0.010 3.222
beta1_pH[15,3] 1.336 0.929 0.000 1.455 3.015
beta1_pH[16,3] 1.776 1.466 0.000 2.163 4.299
beta1_pH[11,4] 1.906 0.470 1.029 1.901 2.833
beta1_pH[12,4] 2.793 0.653 1.506 2.817 4.101
beta1_pH[13,4] 1.386 0.495 0.458 1.346 2.467
beta1_pH[14,4] 1.956 0.465 1.121 1.928 2.926
beta1_pH[15,4] 1.512 0.479 0.660 1.470 2.562
beta1_pH[16,4] 2.933 0.632 1.666 2.971 4.167
beta1_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta1_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,1] 1.179 0.826 0.299 0.882 3.312
beta2_pH[2,1] 1.599 0.943 0.301 1.393 3.429
beta2_pH[3,1] 1.317 0.854 0.175 1.132 2.938
beta2_pH[4,1] 1.138 0.806 0.194 0.847 2.898
beta2_pH[5,1] 2.610 2.872 0.318 1.707 11.505
beta2_pH[6,1] 1.765 2.848 0.122 0.572 10.191
beta2_pH[7,1] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,1] 1.578 2.559 0.151 0.515 10.167
beta2_pH[9,1] 1.681 2.524 0.193 0.664 10.237
beta2_pH[10,1] 1.853 2.451 0.303 0.925 9.814
beta2_pH[11,1] 0.484 0.277 0.201 0.411 1.188
beta2_pH[12,1] 1.743 0.871 0.629 1.475 3.719
beta2_pH[13,1] 1.048 0.465 0.524 0.933 2.362
beta2_pH[14,1] 1.251 0.742 0.475 1.008 3.427
beta2_pH[15,1] 1.169 0.701 0.415 0.960 3.239
beta2_pH[16,1] 1.327 0.580 0.676 1.169 3.027
beta2_pH[1,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[2,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[9,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[10,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[11,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,2] 0.000 0.000 0.000 0.000 0.000
beta2_pH[1,3] 7.074 6.906 0.106 5.611 23.857
beta2_pH[2,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[3,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[4,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[5,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[6,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[7,3] 0.000 0.000 0.000 0.000 0.000
beta2_pH[8,3] 1.521 1.606 0.040 1.047 6.039
beta2_pH[9,3] 0.382 0.981 0.088 0.206 1.682
beta2_pH[10,3] 0.512 1.027 0.101 0.275 2.471
beta2_pH[11,3] -8.065 5.536 -21.311 -6.942 -0.656
beta2_pH[12,3] -8.180 5.496 -22.050 -7.071 -0.806
beta2_pH[13,3] -8.195 5.518 -22.042 -6.986 -1.074
beta2_pH[14,3] -8.029 5.584 -22.024 -6.687 -0.807
beta2_pH[15,3] -8.131 5.519 -21.949 -6.932 -0.989
beta2_pH[16,3] -8.118 5.382 -21.657 -6.940 -1.066
beta2_pH[11,4] -6.880 4.311 -17.121 -6.813 -0.762
beta2_pH[12,4] -6.716 4.177 -16.123 -6.097 -1.059
beta2_pH[13,4] -6.758 4.303 -16.727 -5.960 -1.033
beta2_pH[14,4] -7.005 4.429 -16.824 -6.073 -1.254
beta2_pH[15,4] -6.662 4.132 -16.687 -5.877 -1.140
beta2_pH[16,4] -6.895 4.116 -17.205 -6.019 -1.608
beta2_pH[11,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[12,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[13,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[14,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[15,5] 0.000 0.000 0.000 0.000 0.000
beta2_pH[16,5] 0.000 0.000 0.000 0.000 0.000
beta3_pH[1,1] 34.969 1.212 32.880 34.901 37.682
beta3_pH[2,1] 32.690 1.275 30.413 32.648 35.467
beta3_pH[3,1] 33.034 1.553 30.191 32.950 36.775
beta3_pH[4,1] 32.678 1.872 29.615 32.502 36.764
beta3_pH[5,1] 27.635 1.050 26.118 27.514 30.328
beta3_pH[6,1] 33.229 2.810 27.130 33.116 39.912
beta3_pH[7,1] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,1] 35.948 3.558 29.241 36.585 41.652
beta3_pH[9,1] 31.650 2.246 27.596 31.511 36.444
beta3_pH[10,1] 32.369 1.234 30.154 32.301 34.945
beta3_pH[11,1] 31.448 1.179 29.398 31.415 33.878
beta3_pH[12,1] 30.755 0.480 29.718 30.805 31.619
beta3_pH[13,1] 31.397 0.532 30.442 31.355 32.544
beta3_pH[14,1] 32.336 0.700 31.203 32.272 33.812
beta3_pH[15,1] 30.986 0.703 29.587 30.998 32.375
beta3_pH[16,1] 29.946 0.359 29.259 29.934 30.665
beta3_pH[1,2] 34.486 5.530 25.372 34.572 43.460
beta3_pH[2,2] 34.474 5.485 25.379 34.480 43.523
beta3_pH[3,2] 30.585 7.280 18.559 30.520 42.405
beta3_pH[4,2] 30.631 7.206 18.767 30.484 42.346
beta3_pH[5,2] 30.374 7.353 18.616 30.292 42.402
beta3_pH[6,2] 30.524 7.314 18.589 30.459 42.362
beta3_pH[7,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[9,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[10,2] 25.000 0.000 25.000 25.000 25.000
beta3_pH[11,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[12,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[13,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[14,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[15,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[16,2] 24.000 0.000 24.000 24.000 24.000
beta3_pH[1,3] 38.219 3.623 28.423 39.624 43.067
beta3_pH[2,3] 34.516 5.519 25.508 34.461 43.557
beta3_pH[3,3] 30.635 7.258 18.620 30.653 42.492
beta3_pH[4,3] 30.607 7.229 18.647 30.754 42.453
beta3_pH[5,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[6,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[7,3] 25.000 0.000 25.000 25.000 25.000
beta3_pH[8,3] 41.672 1.686 36.479 41.839 43.865
beta3_pH[9,3] 36.298 2.043 34.533 35.458 42.168
beta3_pH[10,3] 37.787 2.498 34.638 37.068 43.374
beta3_pH[11,3] 37.746 3.708 29.676 39.152 42.612
beta3_pH[12,3] 39.461 3.479 30.334 40.384 42.846
beta3_pH[13,3] 39.410 3.220 30.231 40.607 42.614
beta3_pH[14,3] 37.655 3.898 29.574 39.304 42.544
beta3_pH[15,3] 39.423 2.790 30.431 40.404 42.129
beta3_pH[16,3] 39.809 3.600 30.117 41.502 42.716
beta3_pH[11,4] 40.449 0.927 38.792 40.397 42.454
beta3_pH[12,4] 41.703 1.006 39.487 42.135 42.868
beta3_pH[13,4] 41.629 0.943 39.774 41.753 42.931
beta3_pH[14,4] 40.431 0.667 39.051 40.439 41.700
beta3_pH[15,4] 41.059 0.846 39.254 41.040 42.665
beta3_pH[16,4] 41.873 0.442 41.026 41.902 42.761
beta3_pH[11,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[12,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[13,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[14,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[15,5] 25.000 0.000 25.000 25.000 25.000
beta3_pH[16,5] 25.000 0.000 25.000 25.000 25.000
beta4_pH[1,1] 0.262 0.021 0.223 0.261 0.304
beta4_pH[2,1] 0.211 0.005 0.201 0.211 0.221
beta4_pH[3,1] 0.172 0.007 0.159 0.172 0.186
beta4_pH[4,1] 0.294 0.011 0.272 0.293 0.317
beta4_pH[5,1] 0.440 0.380 0.094 0.393 0.991
beta4_pH[6,1] 0.796 0.409 0.334 0.744 1.553
beta4_pH[7,1] 0.843 0.344 0.335 0.784 1.700
beta4_pH[8,1] 0.159 0.068 0.047 0.153 0.302
beta4_pH[9,1] 0.212 0.086 0.058 0.208 0.395
beta4_pH[10,1] 0.001 0.001 0.000 0.001 0.003
beta4_pH[11,1] 0.446 0.012 0.423 0.446 0.469
beta4_pH[12,1] 0.607 0.024 0.561 0.607 0.654
beta4_pH[13,1] 0.631 0.014 0.605 0.631 0.658
beta4_pH[14,1] 0.659 0.031 0.600 0.658 0.721
beta4_pH[15,1] 0.797 0.021 0.757 0.797 0.839
beta4_pH[16,1] 1.076 0.044 0.995 1.074 1.165
beta4_pH[1,2] 0.311 0.097 0.135 0.309 0.506
beta4_pH[2,2] 0.514 0.023 0.468 0.514 0.558
beta4_pH[3,2] 0.446 0.012 0.423 0.446 0.469
beta4_pH[4,2] 0.654 0.038 0.580 0.653 0.730
beta4_pH[5,2] 0.776 1.048 0.101 0.551 2.613
beta4_pH[6,2] 0.901 0.708 0.200 0.745 2.664
beta4_pH[7,2] 0.878 0.395 0.354 0.811 1.800
beta4_pH[8,2] 0.837 0.199 0.471 0.827 1.271
beta4_pH[9,2] 1.184 1.207 0.299 0.880 3.840
beta4_pH[10,2] 0.456 0.051 0.363 0.453 0.564
beta4_pH[11,2] 1.269 0.050 1.171 1.268 1.369
beta4_pH[12,2] 0.566 0.108 0.368 0.561 0.802
beta4_pH[13,2] 0.943 0.043 0.863 0.942 1.029
beta4_pH[14,2] 0.932 0.061 0.814 0.932 1.055
beta4_pH[15,2] 1.011 0.025 0.963 1.011 1.061
beta4_pH[16,2] 1.302 0.086 1.137 1.302 1.477
beta4_pH[1,3] 0.289 0.088 0.128 0.284 0.472
beta4_pH[2,3] 0.052 0.018 0.020 0.051 0.088
beta4_pH[3,3] 0.052 0.010 0.033 0.052 0.071
beta4_pH[4,3] 0.174 0.032 0.112 0.174 0.235
beta4_pH[5,3] 0.796 0.999 0.127 0.585 2.824
beta4_pH[6,3] 0.865 0.756 0.185 0.711 2.448
beta4_pH[7,3] 0.886 0.412 0.353 0.811 1.918
beta4_pH[8,3] 0.425 0.205 0.108 0.402 0.904
beta4_pH[9,3] 0.952 0.886 0.163 0.716 3.131
beta4_pH[10,3] 0.062 0.042 0.004 0.056 0.158
beta4_pH[11,3] 0.364 0.016 0.334 0.364 0.395
beta4_pH[12,3] 0.425 0.044 0.342 0.424 0.511
beta4_pH[13,3] 0.835 0.037 0.764 0.835 0.910
beta4_pH[14,3] 0.800 0.066 0.678 0.798 0.943
beta4_pH[15,3] 0.636 0.017 0.604 0.636 0.670
beta4_pH[16,3] 0.590 0.050 0.498 0.590 0.692
beta4_pH[1,4] 0.632 0.340 0.212 0.563 1.444
beta4_pH[2,4] 0.798 0.871 0.114 0.567 2.948
beta4_pH[3,4] 0.868 1.047 0.118 0.598 3.248
beta4_pH[4,4] 0.746 0.575 0.218 0.617 1.873
beta4_pH[5,4] 0.755 0.890 0.097 0.552 2.613
beta4_pH[6,4] 0.907 0.771 0.216 0.736 2.740
beta4_pH[7,4] 0.901 0.449 0.351 0.819 1.870
beta4_pH[8,4] 0.725 0.563 0.150 0.593 2.074
beta4_pH[9,4] 0.784 0.941 0.123 0.558 3.016
beta4_pH[10,4] 1.564 3.049 0.007 0.403 11.760
beta4_pH[11,4] 0.444 0.017 0.411 0.444 0.477
beta4_pH[12,4] 0.550 0.056 0.442 0.550 0.662
beta4_pH[13,4] 0.924 0.036 0.855 0.924 0.994
beta4_pH[14,4] 0.912 0.072 0.775 0.910 1.057
beta4_pH[15,4] 0.713 0.020 0.674 0.713 0.754
beta4_pH[16,4] 0.605 0.050 0.512 0.605 0.703
beta4_pH[1,5] 0.644 0.367 0.212 0.571 1.574
beta4_pH[2,5] 0.802 0.862 0.112 0.574 2.805
beta4_pH[3,5] 0.887 1.084 0.108 0.599 3.417
beta4_pH[4,5] 0.734 0.489 0.208 0.629 1.861
beta4_pH[5,5] 0.749 0.745 0.113 0.581 2.584
beta4_pH[6,5] 0.903 0.790 0.189 0.734 2.648
beta4_pH[7,5] 0.888 0.447 0.355 0.808 1.887
beta4_pH[8,5] 0.757 0.629 0.158 0.607 2.273
beta4_pH[9,5] 0.772 0.887 0.113 0.577 2.723
beta4_pH[10,5] 1.466 3.012 0.009 0.395 10.936
beta4_pH[11,5] 0.601 0.053 0.502 0.601 0.709
beta4_pH[12,5] 0.589 0.176 0.300 0.569 0.986
beta4_pH[13,5] 0.780 0.062 0.666 0.778 0.910
beta4_pH[14,5] 0.844 0.116 0.640 0.836 1.097
beta4_pH[15,5] 1.143 0.071 1.009 1.140 1.290
beta4_pH[16,5] 16.942 4.441 8.503 17.059 24.535
beta0_pelagic[1] 2.267 0.035 2.199 2.266 2.340
beta0_pelagic[2] 1.538 0.007 1.524 1.538 1.551
beta0_pelagic[3] 0.187 0.260 -0.432 0.243 0.571
beta0_pelagic[4] 0.252 0.203 -0.185 0.259 0.640
beta0_pelagic[5] 1.454 0.155 1.154 1.451 1.767
beta0_pelagic[6] 1.355 0.061 1.240 1.353 1.479
beta0_pelagic[7] 1.485 0.039 1.414 1.484 1.565
beta0_pelagic[8] 1.674 0.043 1.594 1.674 1.760
beta0_pelagic[9] 2.795 0.065 2.672 2.795 2.928
beta0_pelagic[10] 2.603 0.031 2.544 2.602 2.668
beta0_pelagic[11] -0.142 0.175 -0.513 -0.129 0.153
beta0_pelagic[12] 1.800 0.036 1.733 1.799 1.875
beta0_pelagic[13] -0.873 0.366 -1.452 -0.901 -0.125
beta0_pelagic[14] -0.285 0.181 -0.719 -0.264 0.011
beta0_pelagic[15] -0.215 0.037 -0.310 -0.200 -0.181
beta0_pelagic[16] -0.370 0.304 -1.094 -0.307 0.071
beta1_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[3] 0.768 0.321 0.289 0.720 1.573
beta1_pelagic[4] 0.805 0.262 0.354 0.791 1.413
beta1_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[11] 1.164 0.261 0.744 1.140 1.773
beta1_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta1_pelagic[13] 2.637 0.494 1.581 2.661 3.448
beta1_pelagic[14] 1.803 0.496 1.122 1.680 3.107
beta1_pelagic[15] 0.110 0.175 0.001 0.026 0.653
beta1_pelagic[16] 1.517 0.600 0.752 1.359 3.136
beta2_pelagic[1] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[2] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[3] 6.056 5.948 0.154 4.135 20.588
beta2_pelagic[4] 7.682 5.991 0.278 6.491 21.795
beta2_pelagic[5] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[6] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[7] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[8] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[9] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[10] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[11] 1.741 1.519 0.242 1.225 6.004
beta2_pelagic[12] 0.000 0.000 0.000 0.000 0.000
beta2_pelagic[13] 0.187 0.097 0.102 0.169 0.386
beta2_pelagic[14] 0.897 0.939 0.191 0.605 3.687
beta2_pelagic[15] 2.636 1.898 0.179 2.250 7.180
beta2_pelagic[16] 0.871 1.184 0.113 0.405 4.584
beta3_pelagic[1] 32.955 5.811 23.518 32.904 42.454
beta3_pelagic[2] 32.941 5.804 23.484 32.763 42.576
beta3_pelagic[3] 27.781 2.599 23.602 27.961 32.008
beta3_pelagic[4] 26.292 1.680 23.739 26.296 29.774
beta3_pelagic[5] 29.360 6.686 18.493 29.323 40.428
beta3_pelagic[6] 29.477 6.670 18.525 29.521 40.469
beta3_pelagic[7] 29.656 6.647 18.647 29.824 40.425
beta3_pelagic[8] 29.169 6.625 18.568 29.188 40.344
beta3_pelagic[9] 29.492 6.584 18.676 29.585 40.425
beta3_pelagic[10] 29.619 6.613 18.718 29.563 40.469
beta3_pelagic[11] 30.223 1.221 28.065 30.131 32.871
beta3_pelagic[12] 32.460 5.453 23.567 32.425 41.526
beta3_pelagic[13] 31.569 3.602 25.312 31.335 39.670
beta3_pelagic[14] 34.250 1.794 31.456 34.003 38.802
beta3_pelagic[15] 34.239 5.744 23.527 34.893 41.707
beta3_pelagic[16] 31.972 2.810 27.157 31.539 39.126
beta0_yellow[1] -0.483 0.080 -0.638 -0.482 -0.325
beta0_yellow[2] 0.542 0.084 0.373 0.549 0.681
beta0_yellow[3] -0.205 0.129 -0.465 -0.209 0.017
beta0_yellow[4] 0.824 0.352 -0.183 0.928 1.183
beta0_yellow[5] 0.244 0.322 -0.434 0.268 0.817
beta0_yellow[6] 0.817 0.108 0.606 0.817 1.034
beta0_yellow[7] 1.001 0.093 0.824 0.998 1.185
beta0_yellow[8] 1.024 0.093 0.841 1.024 1.204
beta0_yellow[9] 0.461 0.100 0.256 0.460 0.658
beta0_yellow[10] 0.537 0.070 0.404 0.534 0.677
beta0_yellow[11] -0.224 0.118 -0.473 -0.219 -0.011
beta0_yellow[12] -1.087 0.094 -1.275 -1.086 -0.907
beta0_yellow[13] -1.361 0.206 -1.771 -1.340 -1.060
beta0_yellow[14] -0.249 0.150 -0.572 -0.232 -0.015
beta0_yellow[15] -1.236 0.126 -1.532 -1.221 -1.024
beta0_yellow[16] -0.260 0.092 -0.446 -0.259 -0.078
beta1_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[2] 1.008 0.242 0.556 1.003 1.464
beta1_yellow[3] 0.463 0.247 0.020 0.475 0.930
beta1_yellow[4] 1.437 0.703 0.654 1.214 3.498
beta1_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[11] 0.462 0.520 0.013 0.358 1.454
beta1_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta1_yellow[13] 1.374 1.474 0.030 0.850 5.982
beta1_yellow[14] 0.895 1.344 0.013 0.447 5.477
beta1_yellow[15] 1.136 2.025 0.011 0.150 6.912
beta1_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[1] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[2] -7.600 5.809 -21.953 -6.205 -0.511
beta2_yellow[3] -7.627 5.868 -21.943 -6.264 -0.409
beta2_yellow[4] -5.400 5.923 -20.231 -3.436 -0.106
beta2_yellow[5] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[6] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[7] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[8] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[9] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[10] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[11] -7.649 5.765 -21.502 -6.393 -0.510
beta2_yellow[12] 0.000 0.000 0.000 0.000 0.000
beta2_yellow[13] -6.135 5.777 -20.342 -4.163 -0.275
beta2_yellow[14] -7.255 5.737 -21.176 -6.027 -0.392
beta2_yellow[15] -6.956 5.158 -20.474 -5.638 -0.446
beta2_yellow[16] 0.000 0.000 0.000 0.000 0.000
beta3_yellow[1] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[2] 28.892 1.158 27.288 28.689 31.961
beta3_yellow[3] 32.305 3.431 22.917 32.526 38.930
beta3_yellow[4] 30.196 3.508 23.721 29.018 36.678
beta3_yellow[5] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[6] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[7] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[8] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[9] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[10] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[11] 33.520 2.903 29.457 32.846 41.489
beta3_yellow[12] 25.000 0.000 25.000 25.000 25.000
beta3_yellow[13] 33.350 2.738 29.176 33.411 39.461
beta3_yellow[14] 33.497 3.367 29.169 33.112 41.792
beta3_yellow[15] 34.429 4.277 29.095 34.199 42.450
beta3_yellow[16] 25.000 0.000 25.000 25.000 25.000
beta0_black[1] 0.011 0.075 -0.137 0.011 0.156
beta0_black[2] 1.856 0.032 1.793 1.856 1.917
beta0_black[3] 1.240 0.038 1.167 1.240 1.312
beta0_black[4] 2.425 0.049 2.331 2.425 2.517
beta0_black[5] 5.205 2.369 1.801 4.742 10.794
beta0_black[6] 5.223 2.137 2.638 4.743 10.831
beta0_black[7] 4.141 2.216 1.704 3.533 10.433
beta0_black[8] 0.887 0.215 0.492 0.880 1.342
beta0_black[9] 2.807 0.273 2.286 2.798 3.343
beta0_black[10] 1.286 0.051 1.184 1.286 1.389
beta0_black[11] 2.978 0.051 2.877 2.978 3.079
beta0_black[12] 4.917 0.185 4.553 4.918 5.284
beta0_black[13] 0.452 0.343 0.020 0.367 1.235
beta0_black[14] 2.851 0.107 2.641 2.849 3.061
beta0_black[15] 0.721 0.051 0.624 0.720 0.820
beta0_black[16] 3.772 0.073 3.625 3.772 3.910
beta2_black[1] 0.000 0.000 0.000 0.000 0.000
beta2_black[2] 0.000 0.000 0.000 0.000 0.000
beta2_black[3] 0.000 0.000 0.000 0.000 0.000
beta2_black[4] 0.000 0.000 0.000 0.000 0.000
beta2_black[5] 0.000 0.000 0.000 0.000 0.000
beta2_black[6] 0.000 0.000 0.000 0.000 0.000
beta2_black[7] 0.000 0.000 0.000 0.000 0.000
beta2_black[8] 0.000 0.000 0.000 0.000 0.000
beta2_black[9] 0.000 0.000 0.000 0.000 0.000
beta2_black[10] 0.000 0.000 0.000 0.000 0.000
beta2_black[11] 0.000 0.000 0.000 0.000 0.000
beta2_black[12] 0.000 0.000 0.000 0.000 0.000
beta2_black[13] -2.709 1.783 -6.903 -2.378 -0.319
beta2_black[14] 0.000 0.000 0.000 0.000 0.000
beta2_black[15] 0.000 0.000 0.000 0.000 0.000
beta2_black[16] 0.000 0.000 0.000 0.000 0.000
beta3_black[1] 25.000 0.000 25.000 25.000 25.000
beta3_black[2] 25.000 0.000 25.000 25.000 25.000
beta3_black[3] 25.000 0.000 25.000 25.000 25.000
beta3_black[4] 25.000 0.000 25.000 25.000 25.000
beta3_black[5] 25.000 0.000 25.000 25.000 25.000
beta3_black[6] 25.000 0.000 25.000 25.000 25.000
beta3_black[7] 25.000 0.000 25.000 25.000 25.000
beta3_black[8] 25.000 0.000 25.000 25.000 25.000
beta3_black[9] 25.000 0.000 25.000 25.000 25.000
beta3_black[10] 25.000 0.000 25.000 25.000 25.000
beta3_black[11] 25.000 0.000 25.000 25.000 25.000
beta3_black[12] 25.000 0.000 25.000 25.000 25.000
beta3_black[13] 37.367 3.402 27.062 38.199 40.983
beta3_black[14] 25.000 0.000 25.000 25.000 25.000
beta3_black[15] 25.000 0.000 25.000 25.000 25.000
beta3_black[16] 25.000 0.000 25.000 25.000 25.000
beta4_black[1] -0.324 0.092 -0.508 -0.325 -0.142
beta4_black[2] 0.257 0.055 0.147 0.258 0.364
beta4_black[3] -0.720 0.065 -0.847 -0.721 -0.594
beta4_black[4] 0.625 0.128 0.387 0.621 0.894
beta4_black[5] 0.779 1.647 -1.199 0.477 4.218
beta4_black[6] 0.873 1.706 -0.813 0.537 4.363
beta4_black[7] 0.790 1.696 -1.028 0.497 4.184
beta4_black[8] 0.083 0.282 -0.515 0.091 0.603
beta4_black[9] 1.037 0.837 -0.110 0.868 3.104
beta4_black[10] 0.075 0.066 -0.052 0.075 0.205
beta4_black[11] -0.608 0.065 -0.736 -0.608 -0.483
beta4_black[12] 1.232 0.288 0.675 1.219 1.814
beta4_black[13] -1.003 0.077 -1.162 -1.001 -0.854
beta4_black[14] 0.225 0.183 -0.121 0.218 0.598
beta4_black[15] 0.001 0.045 -0.087 0.002 0.090
beta4_black[16] -0.413 0.115 -0.635 -0.414 -0.194
beta0_dsr[11] -0.329 0.009 -0.347 -0.328 -0.311
beta0_dsr[12] 1.412 0.045 1.326 1.412 1.501
beta0_dsr[13] 0.155 0.021 0.112 0.155 0.196
beta0_dsr[14] -0.127 0.017 -0.160 -0.127 -0.094
beta0_dsr[15] 0.206 0.014 0.178 0.206 0.233
beta0_dsr[16] 0.158 0.015 0.128 0.158 0.189
beta1_dsr[11] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[12] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[13] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[14] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[15] 0.000 0.000 0.000 0.000 0.000
beta1_dsr[16] 0.000 0.000 0.000 0.000 0.000
beta4_dsr[11] 0.543 0.036 0.474 0.543 0.613
beta4_dsr[12] 0.805 0.227 0.374 0.799 1.252
beta4_dsr[13] -0.078 0.040 -0.158 -0.078 0.000
beta4_dsr[14] -0.208 0.071 -0.347 -0.209 -0.072
beta4_dsr[15] 0.216 0.022 0.173 0.216 0.261
beta4_dsr[16] -0.047 0.045 -0.136 -0.046 0.043
beta0_slope[11] -2.208 0.021 -2.251 -2.207 -2.168
beta0_slope[12] -5.175 0.214 -5.606 -5.165 -4.784
beta0_slope[13] -1.501 0.034 -1.569 -1.501 -1.436
beta0_slope[14] -2.712 0.051 -2.815 -2.709 -2.617
beta0_slope[15] -1.592 0.022 -1.637 -1.592 -1.550
beta0_slope[16] -2.670 0.039 -2.749 -2.669 -2.599
beta1_slope[11] 0.000 0.000 0.000 0.000 0.000
beta1_slope[12] 0.000 0.000 0.000 0.000 0.000
beta1_slope[13] 0.000 0.000 0.000 0.000 0.000
beta1_slope[14] 0.000 0.000 0.000 0.000 0.000
beta1_slope[15] 0.000 0.000 0.000 0.000 0.000
beta1_slope[16] 0.000 0.000 0.000 0.000 0.000
beta4_slope[11] -0.337 0.076 -0.493 -0.337 -0.194
beta4_slope[12] -4.675 0.797 -6.342 -4.645 -3.208
beta4_slope[13] 0.327 0.053 0.228 0.325 0.432
beta4_slope[14] -0.160 0.155 -0.471 -0.159 0.133
beta4_slope[15] -0.360 0.033 -0.425 -0.360 -0.296
beta4_slope[16] -0.124 0.101 -0.327 -0.119 0.070
beta5_slope[11] 3.069 0.106 2.868 3.066 3.288
beta5_slope[12] 2.009 0.378 1.330 1.994 2.780
beta5_slope[13] 0.882 0.078 0.738 0.881 1.038
beta5_slope[14] 3.756 0.355 3.114 3.741 4.495
beta5_slope[15] 1.307 0.072 1.165 1.305 1.454
beta5_slope[16] 2.725 0.235 2.290 2.715 3.216
tau_comp[1] 3.786 0.292 3.246 3.772 4.390
tau_comp[2] 2.875 0.252 2.391 2.866 3.392
tau_comp[3] 0.870 0.076 0.732 0.868 1.027
tau_comp[4] 1.775 0.275 1.278 1.761 2.356
tau_comp[5] 1.265 0.189 0.926 1.252 1.673
sigma_H[1] 0.207 0.049 0.121 0.204 0.311
sigma_H[2] 0.175 0.029 0.126 0.172 0.235
sigma_H[3] 0.187 0.041 0.114 0.185 0.272
sigma_H[4] 0.462 0.081 0.326 0.453 0.642
sigma_H[5] 0.962 0.205 0.612 0.946 1.409
sigma_H[6] 0.526 0.198 0.147 0.517 0.930
sigma_H[7] 0.309 0.060 0.212 0.301 0.450
sigma_H[8] 0.419 0.099 0.263 0.409 0.636
sigma_H[9] 0.517 0.118 0.330 0.502 0.793
sigma_H[10] 0.211 0.038 0.144 0.207 0.293
sigma_H[11] 0.267 0.043 0.195 0.263 0.362
sigma_H[12] 0.386 0.149 0.201 0.341 0.720
sigma_H[13] 0.218 0.035 0.158 0.215 0.295
sigma_H[14] 0.499 0.089 0.349 0.493 0.698
sigma_H[15] 0.231 0.037 0.165 0.228 0.312
sigma_H[16] 0.217 0.041 0.150 0.213 0.313
lambda_H[1] 2.154 3.168 0.075 1.037 10.843
lambda_H[2] 5.189 4.964 0.560 3.712 17.994
lambda_H[3] 5.243 7.561 0.272 2.807 25.431
lambda_H[4] 0.006 0.004 0.001 0.005 0.017
lambda_H[5] 2.538 7.109 0.027 0.657 18.643
lambda_H[6] 6.056 13.227 0.009 0.225 47.060
lambda_H[7] 0.012 0.009 0.002 0.010 0.035
lambda_H[8] 7.531 10.235 0.050 4.021 35.497
lambda_H[9] 0.015 0.010 0.003 0.013 0.041
lambda_H[10] 0.236 0.342 0.025 0.159 0.840
lambda_H[11] 0.232 0.330 0.010 0.114 1.104
lambda_H[12] 3.799 5.027 0.191 2.233 17.517
lambda_H[13] 3.125 2.854 0.281 2.280 10.568
lambda_H[14] 3.422 4.207 0.211 2.175 13.787
lambda_H[15] 0.019 0.028 0.003 0.014 0.061
lambda_H[16] 0.648 1.005 0.038 0.337 3.173
mu_lambda_H[1] 4.050 1.894 1.024 3.854 8.356
mu_lambda_H[2] 3.672 1.973 0.468 3.503 8.008
mu_lambda_H[3] 3.373 1.803 0.732 3.087 7.413
sigma_lambda_H[1] 8.073 4.343 1.651 7.349 17.930
sigma_lambda_H[2] 8.127 4.763 0.793 7.439 18.128
sigma_lambda_H[3] 6.181 4.057 1.012 5.210 16.360
beta_H[1,1] 6.492 1.346 3.322 6.734 8.454
beta_H[2,1] 9.763 0.609 8.454 9.796 10.840
beta_H[3,1] 7.829 0.819 6.028 7.927 9.188
beta_H[4,1] 10.594 7.507 -4.014 10.423 25.357
beta_H[5,1] -0.285 2.507 -5.593 -0.128 4.264
beta_H[6,1] 3.030 4.277 -7.465 4.471 8.091
beta_H[7,1] 1.374 5.655 -10.768 1.751 11.732
beta_H[8,1] 1.509 4.707 -2.703 1.224 3.889
beta_H[9,1] 13.785 5.613 3.050 13.771 24.938
beta_H[10,1] 6.816 1.840 3.112 6.883 10.504
beta_H[11,1] 4.959 3.600 -3.071 5.651 9.996
beta_H[12,1] 2.625 1.069 0.783 2.555 4.937
beta_H[13,1] 9.118 0.819 7.411 9.173 10.604
beta_H[14,1] 2.134 1.015 0.074 2.130 4.115
beta_H[15,1] -7.003 3.365 -13.110 -7.115 0.199
beta_H[16,1] 3.605 2.844 -0.874 3.162 10.227
beta_H[1,2] 7.777 0.263 7.242 7.782 8.290
beta_H[2,2] 9.887 0.165 9.572 9.884 10.215
beta_H[3,2] 8.799 0.198 8.407 8.800 9.173
beta_H[4,2] 2.990 1.392 0.300 2.942 5.823
beta_H[5,2] 1.741 0.978 -0.211 1.724 3.643
beta_H[6,2] 5.997 1.106 3.438 6.166 7.754
beta_H[7,2] 2.389 1.063 0.382 2.338 4.636
beta_H[8,2] 2.962 1.297 1.102 3.147 4.260
beta_H[9,2] 3.159 1.073 1.038 3.130 5.355
beta_H[10,2] 8.030 0.367 7.294 8.038 8.733
beta_H[11,2] 9.816 0.641 8.850 9.710 11.196
beta_H[12,2] 3.945 0.370 3.249 3.932 4.709
beta_H[13,2] 9.157 0.235 8.714 9.145 9.636
beta_H[14,2] 4.014 0.349 3.333 4.010 4.718
beta_H[15,2] 11.544 0.615 10.248 11.565 12.705
beta_H[16,2] 4.454 0.803 2.950 4.442 6.070
beta_H[1,3] 8.445 0.260 7.970 8.434 8.976
beta_H[2,3] 9.866 0.144 9.585 9.866 10.150
beta_H[3,3] 9.468 0.166 9.149 9.468 9.812
beta_H[4,3] -2.123 0.846 -3.817 -2.120 -0.484
beta_H[5,3] 3.893 0.609 2.682 3.899 5.064
beta_H[6,3] 8.411 1.178 6.682 8.178 10.881
beta_H[7,3] -2.570 0.631 -3.806 -2.575 -1.359
beta_H[8,3] 5.358 0.613 4.716 5.254 6.687
beta_H[9,3] -2.698 0.706 -4.097 -2.693 -1.300
beta_H[10,3] 8.557 0.277 8.018 8.551 9.103
beta_H[11,3] 8.506 0.288 7.893 8.531 9.022
beta_H[12,3] 5.291 0.310 4.582 5.326 5.792
beta_H[13,3] 8.862 0.176 8.498 8.865 9.205
beta_H[14,3] 5.777 0.272 5.170 5.798 6.254
beta_H[15,3] 10.280 0.300 9.704 10.277 10.886
beta_H[16,3] 6.144 0.565 5.002 6.185 7.138
beta_H[1,4] 8.093 0.187 7.703 8.104 8.430
beta_H[2,4] 9.850 0.130 9.582 9.856 10.098
beta_H[3,4] 9.964 0.154 9.634 9.974 10.233
beta_H[4,4] 11.791 0.467 10.862 11.802 12.695
beta_H[5,4] 5.596 0.737 4.395 5.511 7.302
beta_H[6,4] 7.189 0.909 5.286 7.395 8.541
beta_H[7,4] 8.536 0.343 7.837 8.544 9.203
beta_H[8,4] 6.717 0.301 6.081 6.743 7.179
beta_H[9,4] 7.423 0.446 6.573 7.413 8.320
beta_H[10,4] 7.528 0.225 7.111 7.523 7.993
beta_H[11,4] 9.507 0.189 9.140 9.508 9.866
beta_H[12,4] 7.252 0.202 6.865 7.253 7.668
beta_H[13,4] 9.067 0.141 8.787 9.073 9.329
beta_H[14,4] 7.824 0.215 7.421 7.814 8.259
beta_H[15,4] 9.476 0.222 9.044 9.480 9.923
beta_H[16,4] 9.391 0.233 8.966 9.385 9.866
beta_H[1,5] 8.901 0.154 8.574 8.912 9.187
beta_H[2,5] 10.674 0.100 10.486 10.672 10.882
beta_H[3,5] 10.764 0.160 10.478 10.761 11.092
beta_H[4,5] 8.347 0.498 7.410 8.336 9.350
beta_H[5,5] 5.181 0.605 3.766 5.253 6.128
beta_H[6,5] 8.980 0.622 8.047 8.880 10.313
beta_H[7,5] 6.575 0.344 5.928 6.567 7.282
beta_H[8,5] 8.253 0.236 7.892 8.231 8.685
beta_H[9,5] 8.202 0.466 7.263 8.207 9.083
beta_H[10,5] 10.030 0.227 9.572 10.032 10.455
beta_H[11,5] 11.594 0.218 11.167 11.594 12.016
beta_H[12,5] 8.609 0.187 8.248 8.606 8.981
beta_H[13,5] 10.142 0.130 9.891 10.142 10.399
beta_H[14,5] 9.236 0.217 8.837 9.229 9.668
beta_H[15,5] 11.312 0.234 10.856 11.310 11.764
beta_H[16,5] 9.869 0.179 9.493 9.876 10.205
beta_H[1,6] 10.117 0.241 9.736 10.081 10.706
beta_H[2,6] 11.472 0.116 11.251 11.470 11.700
beta_H[3,6] 10.615 0.153 10.296 10.624 10.891
beta_H[4,6] 12.902 0.876 11.200 12.909 14.613
beta_H[5,6] 5.661 0.616 4.563 5.627 6.917
beta_H[6,6] 8.739 0.574 7.493 8.783 9.783
beta_H[7,6] 10.548 0.601 9.313 10.561 11.718
beta_H[8,6] 9.513 0.306 8.972 9.538 9.976
beta_H[9,6] 8.261 0.781 6.731 8.251 9.810
beta_H[10,6] 9.149 0.351 8.411 9.175 9.775
beta_H[11,6] 10.702 0.363 9.934 10.734 11.335
beta_H[12,6] 9.371 0.242 8.904 9.363 9.886
beta_H[13,6] 11.095 0.151 10.796 11.093 11.396
beta_H[14,6] 9.919 0.290 9.328 9.926 10.466
beta_H[15,6] 10.550 0.420 9.732 10.551 11.366
beta_H[16,6] 10.599 0.249 10.061 10.609 11.072
beta_H[1,7] 10.147 1.307 6.776 10.466 11.897
beta_H[2,7] 12.123 0.523 10.973 12.145 13.106
beta_H[3,7] 10.293 0.647 8.861 10.338 11.390
beta_H[4,7] 1.497 4.496 -7.362 1.472 10.231
beta_H[5,7] 5.792 1.994 1.761 5.873 9.674
beta_H[6,7] 7.115 3.110 -0.520 8.162 10.853
beta_H[7,7] 7.621 3.056 1.585 7.668 13.804
beta_H[8,7] 10.879 1.182 9.013 10.854 12.825
beta_H[9,7] 5.114 4.074 -2.977 5.116 13.152
beta_H[10,7] 10.029 1.626 7.143 9.904 13.627
beta_H[11,7] 11.320 1.799 8.160 11.128 15.197
beta_H[12,7] 9.788 0.964 7.570 9.871 11.428
beta_H[13,7] 11.704 0.686 10.156 11.775 12.839
beta_H[14,7] 10.635 0.895 8.769 10.662 12.347
beta_H[15,7] 13.984 2.169 9.767 13.975 18.235
beta_H[16,7] 12.786 1.349 10.584 12.633 15.916
beta0_H[1] 8.477 17.455 -27.761 8.594 43.885
beta0_H[2] 10.510 8.148 -5.800 10.493 26.970
beta0_H[3] 9.567 10.449 -13.352 9.527 31.943
beta0_H[4] 3.010 187.881 -361.364 1.766 364.408
beta0_H[5] 3.378 28.442 -52.160 4.102 57.228
beta0_H[6] 5.309 53.294 -115.210 7.500 111.092
beta0_H[7] 6.641 138.880 -268.666 7.005 296.391
beta0_H[8] 6.728 35.439 -27.377 6.627 33.946
beta0_H[9] 5.890 121.337 -229.992 7.857 251.463
beta0_H[10] 8.349 36.208 -64.734 7.906 81.723
beta0_H[11] 8.845 53.994 -104.337 9.719 124.472
beta0_H[12] 6.637 12.560 -17.357 6.689 29.762
beta0_H[13] 9.844 10.556 -11.347 9.892 29.513
beta0_H[14] 6.745 11.319 -17.128 6.716 29.027
beta0_H[15] 7.763 115.322 -233.622 9.334 240.204
beta0_H[16] 8.084 28.244 -49.307 7.995 67.441